Evidence map›Paper›PMID 41540480›Full record

ArticleEuropean journal of medical research2026

Stress hyperglycemia ratio predicts outcome in stroke patients without diabetes and builds a nomogram: a multi-center retrospective cohort study in a Chinese population.

Manjuan Yao, Shiyu Hu, Shaoling Li, Yuqi Liao, Lijie Ren

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Article in European journal of medical research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Manjuan YaoDepartment of Neurology, Shenzhen University First Affiliated Hospital, Shenzhen Second People's Hospital, No. 3002 Sungang West Road, Shenzhen, 518035, China.
Shiyu HuDepartment of Neurology, Shenzhen University First Affiliated Hospital, Shenzhen Second People's Hospital, No. 3002 Sungang West Road, Shenzhen, 518035, China.
Shaoling LiDepartment of Neurology, Shenzhen University First Affiliated Hospital, Shenzhen Second People's Hospital, No. 3002 Sungang West Road, Shenzhen, 518035, China.
Yuqi LiaoDepartment of Neurology, Shenzhen University First Affiliated Hospital, Shenzhen Second People's Hospital, No. 3002 Sungang West Road, Shenzhen, 518035, China.
Lijie RenDepartment of Neurology, Shenzhen University First Affiliated Hospital, Shenzhen Second People's Hospital, No. 3002 Sungang West Road, Shenzhen, 518035, China. 13631605966@126.com.

Funding

Noncommunicable Chronic Diseases-National Science and Technology Major Project NO: 2023ZD0504800, 2023ZD0504802Shenzhen Clinical Research Center for Neurological Diseases NO: LCYSSQ20220823091204009
6 · The paper itself

Abstract

purposeTo explore how diabetes influences the association between stress hyperglycemia (SH) and functional outcomes in acute ischemic stroke (AIS), and to develop a nomogram based on the stress hyperglycemia ratio (SHR) to predict the prognosis of AIS patients.

methodsPatients were divided into diabetic mellitus (DM) and non-diabetic mellitus (non-DM) groups. SH was calculated using the ratio of fasting blood sugar (FBG) to glycosylated hemoglobin A1c (HbA1c). Poor functional outcomes were defined as a modified Rankin Scale (mRS) score > 2 at a 3-month follow-up. Multivariable logistic regression analysis was used to identify the relationship between SHR and functional outcomes in diabetic and non-diabetic groups. Least Absolute Shrinkage Selection Operator (LASSO) regression analysis and logistic regression analysis were employed to build a nomogram.

resultsIn the DM group, severe stress hyperglycemia showed no significant association with poor function outcomes at 3 months. However, in the non-DM group, severe stress hyperglycemia was associated with poor function outcomes [odds ratio (OR) = 2.21, 95% confidence interval CI 1.61-3.02, p < 0.001]. After adjusting for covariates, the differences remained statistically significant (adjusted OR = 1.62, 95% CI 1.09-2.42, p = 0.0181). Lasso regression identified 8 predictive factors, while logistic regression highlighted age, NIHSS, and SHR as independent predictors, forming a nomogram. The receiver operating characteristic curve assessed the discriminative ability of the nomogram, calibration, and clinical decision curves to evaluate model fitting and net benefit.

conclusionSevere stress hyperglycemia is linked to worse outcomes in non-diabetic patients but not significantly correlated in diabetic patients. A nomogram incorporating age, SHR, and NIHSS predicts poor outcomes in non-diabetic patients.

Indexed as

Acute ischemic strokeNomogramNon-diabeticPrognosisStress hyperglycemia ratio

Identifiers

PMID41540480
PMCPMC12892675

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